News

Our PhD student, Guoyuan An, successfully finished his PhD proposal on January 30th. Guoyuan, thank you for your hard work. We wish you the best of luck with the results!

On January 19th, Professor Hwanjun Song from KAIST gave a seminar at our laboratory. He introduced his research area, “Learning with Noisy Labels.” His lecture was highly informative and especially beneficial for our lab’s research, which involves the use of various and large amounts of data.

Woojae Kim, a PhD students in our lab, was chosen as the winner of Qualcomm innovation fellowship Korea 2023. His finalist paper titled “Feature separation and Recalibaration for Adversarial Robustness” was selected as an highlight paper for CVPR 2023, and this achievement once again proves his excellence. Congraturations!

10월 27일에 계룡산 국립공원 수통골 방문하여 산책하고, 맛있는 점심식사를 하며 즐거운 시간을 보냈습니다. 오랜만에 가벼운 등산을 하며 맑은 공기를 마셨고, 연구실 사람들과 함께 이야기를 나누며 걷다보니 더욱 힐링되는 시간이 되었습니다. 맛있는 점심과 티타임을 즐기며, 친목도 더욱 돈독해졌습니다!

Prof. Yoon attended PG2023, held on Oct. between 10-13 in Daejeon, Korea. He acted as a session chair in the conference.

At the ICCV2023 conference, Guoyuan An presented his paper, “Towards Content-based Pixel Retrieval in Revisited Oxford and Paris.” This research introduced the innovative concept of pixel retrieval, along with associated benchmark datasets.

Xu Yin gave a presentation about his work at the ICCV2023 workshop (VIPriors). The paper is related to his journal paper titled “Contour-Aware Equipotential Learning for Semantic Segmentation“, published in TMM2022.

Prof. Yoon and his Ph.D. students — Jaeyoon Kim, Guoyuan An, and Xu Yin — attended the ICCV2023 conference, held in Paris, France from Oct. 2nd to 6th. At the conference, we had the pleasure of reconnecting with Yuchi Huo, an assistant professor at Zhejiang University and a former post-doctoral researcher at our lab.

우리 연구실에서 2014년도에 졸업하신 한국기술교육대학교 김덕수 교수님께서, “CUDA 기반 GPU 병렬 처리 프로그래밍” 저서를 발간하셨습니다. CUDA 기반 병렬처리 최적화를 배우고자하는 구독자들에게 추천합니다.

Our professor, Sung-Eui Yoon, gave an oral presentation at the KCCV2023 conference held between Aug 7 and 9 in Seoul, Korea. In this talk, he introduced “Feature Separation and Recalibration for Adversarial Robustness” which was chosen as a highlight paper (acceptance ratio: 2.6%) at CVPR2023.

Our paper titled “Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning” was selected as one of the KAIST’s Research Highlights on the 2023 KAIST Annual R&D Report. This paper proposed a novel RL-based navigation method under sensor occlusion.

On July 21, Prof. Simon Woo, from Sungkyunkwan Univ., gave a seminar at our lab. He introduced his ongoing and published research on deep fake generation and detection topics.

우리연구실 석사과정 한규범 군이 한국컴퓨터그래픽스학회 2023 (KCGS 2023)에서 석사논문 최우수상을 수상하였습니다. 본 논문은 국제학회 I3DG 2023에 accept된 논문으로 다시 한 번 우수성을 입증 받았습니다. 축하합니다!

Yaxin Wang presents her work at the KCGS 2023 conference held between July 12 – 14 in Jeju, South Korea. She proposed a user-controlled layout editing method using neural style transfer.

Heechan Shin gave a presentation concerning his work at RSS 2023 workshop (Experiment-oriented Locomotion and Manipulation Research), which was held in Daegu, South Korea. The paper proposes a quadruped fault-tolerant locomotion using curriculum learning.